Face Emotion Detection and Music Recommendation System

14 May
Posted on Author Neha Rai

Face Emotion Detection and Music Recommendation System

Authors- L. Akash, Professor Dr S.Prasanna

Abstract-The Face Emotion Detection and Music Recommendation System is an innovative application leveraging computer vision and machine learning to analyze facial expressions in real-time and recommend music tailored to the user’s emotional state. The system employs Haar cascades for face detection, convolutional neural networks (CNN) for emotion classification (happy, sad, angry, etc.), and a collaborative filtering algorithm to map emotions to music genres. Built with Python (OpenCV, TensorFlow and Django) for the web interface, the platform addresses mental health concerns by offering therapeutic music suggestions. Experimental results demonstrate 89% accuracy in emotion detection, with applications in education (student stress monitoring) and healthcare (mood regulation). The system prioritizes privacy by processing data locally without cloud storage.

DOI: /10.61463/ijset.vol.13.issue3.109